Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/12794
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dc.contributor.authorAl-Hakim, Latifen
dc.contributor.authorSevdalis, Nicken
dc.contributor.authorMaiping, Tanaphonen
dc.contributor.authorWatanachote, Damrongpanen
dc.contributor.authorSengupta, Shomiken
dc.contributor.authorDissaranan, Charuspongen
dc.date.accessioned2015-05-16T02:32:11Z-
dc.date.available2015-05-16T02:32:11Z-
dc.date.issued2015-03-27en
dc.identifier.citationApplied Ergonomics 2015; 50(): 113-25en
dc.identifier.govdoc25959325en
dc.identifier.otherPUBMEDen
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/12794en
dc.description.abstractThis study postulates that traditional human error identification techniques fail to consider motion economy principles and, accordingly, their applicability in operating theatres may be limited. This study addresses this gap in the literature with a dual aim. First, it identifies the principles of motion economy that suit the operative environment and second, it develops a new error mode taxonomy for human error identification techniques which recognises motion economy deficiencies affecting the performance of surgeons and predisposing them to errors. A total of 30 principles of motion economy were developed and categorised into five areas. A hierarchical task analysis was used to break down main tasks of a urological laparoscopic surgery (hand-assisted laparoscopic nephrectomy) to their elements and the new taxonomy was used to identify errors and their root causes resulting from violation of motion economy principles. The approach was prospectively tested in 12 observed laparoscopic surgeries performed by 5 experienced surgeons. A total of 86 errors were identified and linked to the motion economy deficiencies. Results indicate the developed methodology is promising. Our methodology allows error prevention in surgery and the developed set of motion economy principles could be useful for training surgeons on motion economy principles.en
dc.language.isoenen
dc.subject.otherHuman error identification techniqueen
dc.subject.otherLaparoscopic surgeryen
dc.subject.otherMotion economyen
dc.titleHuman error identification for laparoscopic surgery: Development of a motion economy perspective.en
dc.typeJournal Articleen
dc.identifier.journaltitleApplied ergonomicsen
dc.identifier.affiliationSchool of Information Technology and Mathematical Sciences, University of South Australia, Australiaen
dc.identifier.affiliationHealth Service & Population Research Department, King's College, London, UKen
dc.identifier.affiliationDepartment of Surgery, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationOncology Department, Bangkok Hospital, Bangkok, Thailand.en
dc.identifier.affiliationUrology Centre, Bangkok Hospital, Bangkok, Thailand.en
dc.identifier.doi10.1016/j.apergo.2015.03.005en
dc.description.pages113-25en
dc.relation.urlhttps://pubmed.ncbi.nlm.nih.gov/25959325en
dc.type.austinJournal Articleen
local.name.researcherSengupta, Shomik
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.openairetypeJournal Article-
item.fulltextNo Fulltext-
crisitem.author.deptUrology-
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